Data Engineering and Analytics

Organize, clean and transform your data to make it useful to business. Data engineering takes up 80% of the time of all data projects, and our rapid tool kit cuts that time by half.


Challenges we solve

Optimize Data Collection Process

Collect, organize and optimize different types of data automatically using a data system, while ensuring that the standard of data quality is high. This helps you get the most value out of it.

Build Intelligent Data Platforms

Intelligent Data Platforms (IDPs) are AI-driven platforms that make data accessible for real-time analysis across all cloud platforms. With the help of IDPs, businesses can get the most out of their data.

Ensure Data Governance and Security

Addo uses benchmark practices to offer the best consultancy and guidelines for data integrity and security. This can help you be confident about the quality of your data.

Design Interactive Dashboards and BI reports

With the help of interactive dashboards, Addo transforms real-time raw data into relevant visuals. Such visualization of KPIs and metrics helps facilitate data-driven decisions.

Slide 1

Intelligent Data Platform for a Multinational Telecom Operator

Build a data analytics infrastructure to enable a 360-degree real-time view of customers, business operations and to reduce the cost for business units.

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Automated Quality Audit for a Leading Asian Telecom Firm

Designing and building an efficient and scalable solution that allows clients to gauge and visualize call center agents’ performance.

Slide 2

Reverse Linkage Project for the Ministry of Health (MoH) in Indonesia

Enabling data transformation for governments by establishing data foundations and upskilling existing workforce in AI and Big Data for Improved resource management and effective policy-making.

Slide 4

Intelligent Data Platform for a Large Scale US-based Healthcare Network

Building a centralized data analytics platform for various business units to enable efficient decision making for business users.

Slide 5

Data Mesh Architecture on Cloud for a Large Transportation Company

Building a shared Data Analytics Workspace was provisioned over Azure Cloud to leverage data as an asset to stay competitive in the industry.

Data Mesh Architecture for a Large Transportation Company
Slide 5

Mobility-as-a-Service Platform for Personalized Customer Journey

Building a microservices based MaaS mobile application on cloud with interactive user interfaces to improve customer engagement.

Mobility as a Service by Addo AI
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Addo’s Data Engineering Playbook

Quickly, efficiently, and cost-effectively scale data engineering solutions tailored to your business needs with pre-built data pipelines, platforms, and dashboards.

Performance-Centric Data Pipelines

Data pipeline accelerators to efficiently process and move data.

Established Data Modeling Practice

Industry-driven adaptive data modeling techniques based on BEAM strategy.

Data Quality Monitoring

Enhanced data quality by built-in anomaly detection procedures.

Privacy Preservation and Compliance

Encryption, anonymization, logging, and altering to ensure privacy and security.

Native Integrators

Multiple applications integrators leverage cloud integrators.

Our Areas of Expertise

Cloud Data Foundation

Data platforms of the future are born in the Cloud. We help customers design and build secure, governable, cost effective, and scalable Cloud infrastructure across all major public clouds: Azure, AWS, and GCP.

Data Engineering and Migration

Our data modellers, data architects, and data engineers build tool agnostic complex data pipelines to migrate, unify, and consolidate data from multiple sources across the enterprise into a central data lake.

Data Lake Implementation

We specialize in building data lakes and ensuring that they don’t turn into data swamps. Raw data is ingested, organized & structured between data tiers where it’s curated at each step. This maximizes business value while minimizing cost of storage.

Enterprise Data Warehouse Modernization

We help modernize data warehousing by migrating your existing data warehouse solutions to Cloud native solutions such as AWS Redshift, Azure Synapse SQL Pool, GCP BigQuery, and Snowflake.

Advanced Analytics

Our data platform enables self-service access to the data. This enables data engineers, data analysts, data scientists, and machine learning engineers to seamlessly work together and churn through petabytes of data to generate meaningful insights.

Managed Services

Our team of experienced data architects, data engineers, machine learning engineers, and data scientists provides select strategic customers with ongoing post-production support services.

Our Data & Analytics Accelerators

Quickly, efficiently, and cost-effectively scale Data & Analytics solutions tailored to your business needs, through pre-built Data modules, platforms, and dashboards.

Data migrations

Fast track the delivery of different types of data migration scenarios such as lift and shift, replatforming, or rearchitecting of existing solutions, across multiple Cloud and on-premises platforms.

Big Data pipelines

Expedite the delivery of data and analytics across platforms. We build distributed data pipelines for big data workloads ranging from hundreds of gigabytes to petabytes of both batch and streaming data.

Customer 360 platform

Unite all your teams around the customer. Customer 360 brings sales, service, marketing, commerce, IT, and analytics together through digital workflows that power an all-new way to work.

Advantages of being a data-driven organization


Engaged customers

Unlock the power of data to anticipate customer needs and personalize customer journeys across all touch points leading to a highly engaged customer base.


Informed decisions

With highly reliable and trusted data available at your fingertips, make informed business decisions that you can rely on.


Business agility

Being data driven enables you to better predict the market trends and changes. This enables you to adapt to changes way faster than competition.


Streamlined operations

Optimize and improve your business process and operations through greater visibility and insights into your core KPIs and metrics.


Enhanced consistency

Democratization of data analytics enables consistent decision making across your business, which translates to persistent growth.


Improved sales processes

Translate data into revenue opportunities by identifying problems, and developing strategies that can improve performance and grow revenue.

Technology Stack

We are well-versed in the best-in-class technology stack for Data Engineering.

  • PySpark
  • Scala
  • Apache Kafka
  • Apache Hadoop
  • Apache Spark
  • Cloudera
  • YARN
  • Apache Cassandra
  • Sqoop
  • Talend
  • AWS Glue
  • AWS Kinesis
  • Pub/Sub
  • Data Proc
  • Azure Data Factory
  • Databricks
  • Hive
  • AWS Redshift
  • AWS Athena
  • Snowflake
  • BigQuery
  • Azure Synapse Analytics
  • Teradata
  • Vertica
  • Qlik
  • Tableau
  • PowerBI
  • Data Studio
  • AWS Quicksight

Learn how your business can become more data-driven!

Ready to discuss your project?